SMAC is written in python3 and therefore requires an environment with python>=3.8. Furthermore, the Random Forest used in SMAC requires SWIG as a build dependency. Install it either in your environment or on your system directly. The command to install swig on linux machines is the following:
apt-get install swig
SMAC is tested on Linux and Mac machines with python 3.8, 3.9 and 3.10.
We recommend using Anaconda to create and activate an environment:
conda create -n SMAC python=3.10 conda activate SMAC
If you haven’t installed swig yet, you can install it directly inside the Anaconda environment:
conda install gxx_linux-64 gcc_linux-64 swig
Now install SMAC via PyPI:
pip install smac
Or alternatively, clone the environment from GitHub directly:
git clone https://github.com/automl/SMAC3.git && cd SMAC3 pip install -e .[dev]
Installing SMAC from the conda-forge channel can be achieved by adding conda-forge to your channels with:
conda config --add channels conda-forge conda config --set channel_priority strict
You must have conda >= 4.9 installed. To update conda or check your current conda version, please follow the instructions from the official anaconda documentation . Once the conda-forge channel has been enabled, SMAC can be installed with:
conda install smac
Read SMAC feedstock for more details.
Windows via WSL (Experimental)¶
SMAC can be installed under Windows in a WSL (Windows Subsystem for Linux). You can find an instruction on how to do this here: Experimental However, this is experimental and might not work in each case. If you would like to suggest any changes, please let us know.